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Figure 5 Evidence degree impact.

(b) The impact of evidence degree on false positive rate.

(a) The impact of evidence degree on detection rate.

We use a parameter Evidence Degree (or ED) to indicate the number of associated symptoms.

Our current implementation of SeeBot has the average evidence degree 23 among all defined evidences.

However, the improvement due to increasing evidences and symptoms becomes much slow after certain thresholds as the total evidences |E1|=8, |E2|=4 and the average evidence degree 15.

Similar(54)

We have also analyzed system sensitivity showing the impact of the number of evidences and their evidence degrees on the system performance and accuracy.

No meta-analysis of outcomes was possible with the low level of evidence and degree of heterogeneity found.

Having a system for scoring cases according to the level of corroborating evidence and degree of evidence for attribution was beneficial.

Narrowing of hysteresis loop under 25 °C (Fig. 11) gives evidence that degree of the system thixotropy decreases and structure changes to stable system with reaching thixotropic properties.

In all these developments, probabilities and functions over sample space are read epistemically, i.e., as expressions of the strength of evidence, the degree of support, or similar.

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